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穿戴式睡眠及静息心率变异性作为主观压力指标的结果和预测因素:一项多次个体内观察研究。

Wearable-Measured Sleep and Resting Heart Rate Variability as an Outcome of and Predictor for Subjective Stress Measures: A Multiple N-of-1 Observational Study.

机构信息

Research Group Digital Transformation, Hanze University of Applied Sciences, 9747 AS Groningen, The Netherlands.

Department of Human Behaviour & Training, Netherlands Organization for Applied Scientific Research (TNO), 3769 DE Soesterberg, The Netherlands.

出版信息

Sensors (Basel). 2022 Dec 28;23(1):332. doi: 10.3390/s23010332.

DOI:10.3390/s23010332
PMID:36616929
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9823534/
Abstract

The effects of stress may be alleviated when its impact or a decreased stress-resilience are detected early. This study explores whether wearable-measured sleep and resting HRV in police officers can be predicted by stress-related Ecological Momentary Assessment (EMA) measures in preceding days and predict stress-related EMA outcomes in subsequent days. Eight police officers used an Oura ring to collect daily Total Sleep Time (TST) and resting Heart Rate Variability (HRV) and an EMA app for measuring demands, stress, mental exhaustion, and vigor during 15-55 weeks. Vector Autoregression (VAR) models were created and complemented by Granger causation tests and Impulse Response Function visualizations. Demands negatively predicted TST and HRV in one participant. TST negatively predicted demands, stress, and mental exhaustion in two, three, and five participants, respectively, and positively predicted vigor in five participants. HRV negatively predicted demands in two participants, and stress and mental exhaustion in one participant. Changes in HRV lasted longer than those in TST. Bidirectional associations of TST and resting HRV with stress-related outcomes were observed at a weak-to-moderate strength, but not consistently across participants. TST and resting HRV are more consistent predictors of stress-resilience in upcoming days than indicators of stress-related measures in prior days.

摘要

当压力的影响或抗压能力降低被早期检测到时,压力的影响可能会减轻。本研究探讨了警察的可穿戴睡眠和静息心率变异性(HRV)是否可以通过前几天与压力相关的生态瞬时评估(EMA)测量来预测,并预测随后几天与压力相关的 EMA 结果。八名警察使用 Oura 戒指收集每日总睡眠时间(TST)和静息心率变异性(HRV),并使用 EMA 应用程序在 15-55 周内测量需求、压力、精神疲惫和活力。创建了向量自回归(VAR)模型,并通过格兰杰因果检验和脉冲响应函数可视化进行了补充。在一名参与者中,需求负向预测 TST 和 HRV。在两名、三名和五名参与者中,TST 分别负向预测需求、压力和精神疲惫,正向预测活力,而在五名参与者中,HRV 负向预测需求。在两名参与者中,HRV 负向预测需求,而在一名参与者中,压力和精神疲惫。HRV 的变化持续时间长于 TST。TST 和静息 HRV 与压力相关结果之间的双向关联在弱到中等强度下观察到,但并非在所有参与者中都一致。TST 和静息 HRV 是未来几天抗压能力的更一致预测指标,而不是前几天与压力相关指标的预测指标。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c92a/9823534/643c3e7595da/sensors-23-00332-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c92a/9823534/2f7f28d48455/sensors-23-00332-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c92a/9823534/5afb03e67474/sensors-23-00332-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c92a/9823534/643c3e7595da/sensors-23-00332-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c92a/9823534/2f7f28d48455/sensors-23-00332-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c92a/9823534/5afb03e67474/sensors-23-00332-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c92a/9823534/643c3e7595da/sensors-23-00332-g003.jpg

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